Literature DB >> 28126421

A novel fully automatic measurement of apparent breast volume from trunk surface mesh.

Lama Seoud1, Joyce Ramsay2, Stefan Parent2, Farida Cheriet3.   

Abstract

This paper presents a novel method for assessing apparent breast volume from trunk surface mesh without any manual intervention. The proposed method requires a closed and smooth triangular mesh of the trunk. It comprises four main steps: automatic nipple localization, automatic breasts delineation, chest-wall interpolation and volume computation. The mean curvature is computed for each vertex using a quadratic fitting approach and used as an indicator to determine the convex fold of the breasts. The delineation is modeled as an ellipse in the frontal plane and all the vertices inside it are removed. The remaining ones are used to interpolate the chest wall with radial basis functions. The voxels inside the resulting mesh without breasts are then subtracted from the original voxelized volume to generate the breasts volume. The validation is conducted on 30 adolescent female for each of which an MRI and a trunk surface (TS) acquisitions were available. Three breast volumes are considered: the anatomical volumes (AV) manually segmented on the MRI, the external volumes computed with the proposed method first in prone position (EVP) using the trunk mesh extracted from the MRI, and second, in standing position (EVS) using the TS's mesh. Significant correlations (R> 0.77) are found between each two of the three volumes. AVs are much larger than both EVS and EPS. In fact, the manual segmentation using MRI slices allows for a direct visualization of the breast posterior delineation. Computed automatically, EVS and EPS are highly similar, indicating that the proposed method is robust to changes from prone to standing position. No significant difference between the regressions on the left and right breasts is noted. Fully-automatic 3D breast volumetry from trunk surface mesh is feasible and provides measurements that are highly correlated to manual MRI volumetry and robust to changes in posture.
Copyright © 2017 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast volumetry; Curvature; Surface mesh

Mesh:

Year:  2017        PMID: 28126421     DOI: 10.1016/j.medengphy.2017.01.004

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

1.  Intraoperative integration of structured light scanning for automatic tissue classification: a feasibility study.

Authors:  Brandon Chan; John F Rudan; Parvin Mousavi; Manuela Kunz
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-03-06       Impact factor: 2.924

2.  Clinical Assessment of Breast Volume: Can 3D Imaging Be the Gold Standard?

Authors:  Renee C Killaars; Myriam L G Preuβ; Nathalie J P de Vos; Camille C J L Y van Berlo; Marc B I Lobbes; René R W J van der Hulst; Andrzej A Piatkowski
Journal:  Plast Reconstr Surg Glob Open       Date:  2020-11-25

3.  Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models.

Authors:  Michael W Göpper; Jakob Neubauer; Ziad Kalash; G Björn Stark; Filip Simunovic
Journal:  PLoS One       Date:  2020-11-24       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.